Despite a recent economic downturn, there is considerable political and industry pressure to retain or even increase the number of scientists in the UK and other developed countries. Claims are made that the supply of scientists (including engineers and mathematicians) is crucial to the economy and the health of the nation, and a large number of initiatives have been funded to address the problem. We consider these claims in light of a re-analysis of existing figures from 1986 to 2009, for (...) young scientists passing through education and into employment. Science graduates are heavily stratified by social origin, and this sorting takes place during initial schooling just as it does with other 'prestige' subjects. The majority of science graduates then move into initial occupations that are not directly related to their degree, suggesting that at this stage of life at least, the demand for scientists trained in specific areas is more than met by existing numbers. We have no reason to believe that the situation is different to other vocational and non-vocational subjects, so perhaps science is not as special as politicians and business leaders imagine. Perhaps young people are put off careers in science by their education. Or perhaps the incentives are not right, leading to the 'wrong' kinds of students in science, and so wastage and inefficiency in the supply process. More pertinently, perhaps this vocational outcome is not how a developed country should assess the value and importance of scientific knowledge among its population. (shrink)

In this paper I reflect on the findings of a number of loosely related research projects undertaken with colleagues over the last ten years. Their common theme is equity, in formal education and beyond, in wider family and social settings, and with inequity expressedas the stratification of a variety of educational outcomes. The projects are based on a standard mixture of pre-existing records, official documents, large-scale surveys, observations, interviews and focus groups. The numeric data were largely used to create biographical (...) models of educational experiences, and the indepth data were used to try to explain individual decisions and disparities at each stage of the model. Data have been collected for England and Wales, in five other countries of the European Union and for Japan. A meta-view of these various findings suggests that national school intakes tend to be at least moderately segregated by prior attainment and socio-economic factors, and that learning outcomes as assessed by formal means, such as examinations, are heavily stratified by these same factors. There is no convincing evidence that compulsory schooling does very much to overcome the initial disparity in the resources and attainment of school intakes. On the other hand, there are indications that the nature of a national school system and the social experiences of young people in schools can begin to equalise educational outcomes as more widely envisaged, including learning to trust and willingness to help others, aspirations, and attitudes to continuing in education and training. The cost-free implications of the argument in this paper, if accepted, are that everything possible should be done to make school intakes comprehensive, and that explicit consideration, by teachers and leaders, of the applied principles of equity could reduce potentially harmful misunderstandings in educational contexts. (shrink)

We suggest that there is a need for those who seek to explore issues associated with the implementation of citizenship education in England to clarify its specific nature. This can be done, at least in part, through a process of comparison. To that end we review some of the connections and disjunctions between 'character education' and 'citizenship education'. We argue, drawing from US and UK literature but focusing our attention on contexts and issues in England, that there are indeed some (...) broad areas of overlap between these two fields. Citizens should be of 'good' character and the educational initiatives that we consider both emerge from a concern about current trends in society. However, we suggest that the overlaps with citizenship education principally apply when character education is drawn very broadly. When we examine a particular approach to character education that is often US-based, and titled as 'citizenship', we note many contrasts with citizenship education as formulated in the National Curriculum for England. We suggest that citizenship educators in England need to interpret claims about the similarity between these two fields with caution, or meanings that apply to both character education and citizenship education will be distorted. (shrink)

This paper discusses the reliance of numerical analysis on the concept of the standard deviation, and its close relative the variance. It suggests that the original reasons why the standard deviation concept has permeated traditional statistics are no longer clearly valid, if they ever were. The absolute mean deviation, it is argued here, has many advantages over the standard deviation. It is more efficient as an estimate of a population parameter in the real-life situation where the data contain tiny errors, (...) or do not form a completely perfect normal distribution. It is easier to use, and more tolerant of extreme values, in the majority of real-life situations where population parameters are not required. It is easier for new researchers to learn about and understand, and also closely linked to a number of arithmetic techniques already used in the sociology of education and elsewhere. We could continue to use the standard deviation instead, as we do presently, because so much of the rest of traditional statistics is based upon it (effect sizes, and the F-test, for example). However, we should weigh the convenience of this solution for some against the possibility of creating a much simpler and more widespread form of numeric analysis for many. (shrink)

This paper considers the role of the British Educational Research Association (BERA) in promoting the improvement of UK research over the past 27 years. The views of some BERA representatives, as expressed at Conferences, in occasional publications and particularly in the pages of Research Intelligence, suggest a certain complacency. These representatives have devoted considerable effort to defending the existing quality of research, arguing for greater funding, and explaining how it is that educational research is so much more difficult than in (...) any other field of endeavour. Some effort has been devoted to making more people aware of the value of existing research, but relatively little attention appears to be devoted to rallying the field to improve. This paper suggests that this relative emphasis should be adjusted, and presents a few examples of ways in which the BERA of the future, if it is to survive in strength, as it should, might address these deficiencies. In my opinion, BERA as the sole professional organization of UK educational researchers should be leading our way rather more on this, and not merely acting as our apologist. (shrink)

This paper is intended to be a consideration of the role of multi-level modelling in educational research. It is not a guide on how to design or perform such an analysis. There are several references in the text to sources that teach the practicalities perfectly well, and the technique is anyway similar to other forms of regression and to analysis of variance. Rather, the paper describes what multi-level modelling is, why it is used, and what its limitations are. It does (...) so in the hope that some readers will be enthused sufficiently to become appropriately critical 'consumers' of research using this approach, so building research capacity, and easing pressures on 'specialist' reviewers. Anyone who can read or perform standard multivariate analyses can understand, referee, or conduct a multi-level model. Additionally, the paper makes three key points. The generally small sample size in each cluster at the lowest level of any multi-level model means that there is a danger of a greater bias in the results than in standard analyses that pool the data from all clusters. Even where there are genuine gains through the use of multi-level models these have to be set against a loss in simple intuitive grasp of the results, especially amongst policy-makers and practitioners. Therefore, long term, we are probably better advised to improve our research designs and the quality of the data we collect than to focus on more and more complex forms of analysis to overcome deficiencies in the datasets we already have. (shrink)

Educational research in the UK has for some time been criticised in terms of both its relevance and its quality. Indeed, these issues of relevance and quality have been presented by some critics as linked with each other. One way forward that has been suggested is greater political (and thereby user and practitioner) control of research and its funding. This would presumably ensure the immediate practical relevance of future work, encourage flexibility of approach, and remove some responsibility from the 'dead-hand' (...) of academic departments of educational research. This paper considers some of the counter-arguments, and contrary evidence, to this approach. It presents examples of projects by teachers, a large-scale study of teacher effectiveness contracted to consultants by the DfEE (as it then was), and of political self-censorship by intellectual fields. On this basis the paper suggests that the link between quality and relevance in research has been exaggerated, and that increasing political control of academic research alone is unlikely to lead to a marked improvement in quality. (shrink)

This paper describes a recurring error in standard analyses of educational performance. This simple but important oversight leads to the misrepresentation of trends over time with potentially dangerous results for both policy and further research. Once corrected, educational performance becomes much brighter than the picture that is commonly portrayed.